Data Scientist in Computational Chemistry

Do you have expertise in, and passion for, deriving knowledge from data and modelling? Would you like to apply your expertise to impact the digital transformation in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be of interest to you!

What we do
AstraZeneca is a global, science-driven BioPharmaceutical business and our innovative medicines are used by millions of patients worldwide.
Ultimately, our aim is to work towards a cure for some of the world's most complex diseases. Whether that's by shaping the patient ecosystem and focusing on outcomes, or by progressing potential medicines and accelerating their launch.

Pharmaceutical Sciences at AstraZeneca delivers the therapies of the future through scientific leadership in drug delivery, design of synthetic routes, and manufacturing of Active Pharmaceutical Ingredients (API) and drug products. In essence, we are working "from molecule to medicine" to develop medicines for our patients today and tomorrow.

The Data Science and Modelling team within Pharmaceutical Sciences is developing a digital transformation strategy to drive innovation, optimization of the drug development process and data-driven decision making.

We now have an exciting opportunity for a Senior Scientist or Associate Principal Scientist, depending on your background and experience, to join our team in Gothenburg, Sweden or any of our UK based sites.

In this role you will get the opportunity to engage with key internal and external stakeholders to identify and validate impactful solutions to provide scientific leadership and drive innovation. You will simply be at the forefront of the digital transformation within AstraZeneca, turning ideas into life changing medicines for patients!

Typical responsibilities in this role

* Use a combination of data driven models and molecular modelling to elucidate chemical structures of impurities and degradants of pharmaceutical substances as well as formulated drug products.
* Develop and implement proof-of-concept models and workflows to be used by other scientists
* Explore new modelling approaches to address the complex interplay between pharmaceutical ingredients in a formulated product

Desired background for the role

* PhD in computational chemistry or equivalent
* Track record of applying molecular modelling to druglike molecules
* Proven experience of using machine learning to build predictive models
* Skills and experience in modelling of chemical reactivity and analytical chemistry data
* Good knowledge of Python programming including machine learning frameworks such as TensorFlow, Scikit-learn as well as cheminformatics packages such as, RDkit. Knowledge of end-to-end software such as PipelinePilot, Knime or Dataiku is beneficial.
* Excellent communication skills, written and spoken
* Self-motivated
* Team player

Why AstraZeneca

At AstraZeneca, we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality.

Ultimately, it's more than a job. We know that our work impacts people with serious conditions, many of whom have no other alternatives. That's what drives us - the potential to impact over one billion patients worldwide.

So, what's next?
Are you already imagining yourself joining us? Good, because we can't wait to hear from you!
Welcome with your application; CV and cover letter, no later than February 20, 2022
For more information please contact recruiting manager Anders Broo, PhD at anders.broo@astrazeneca.com

Additional information
Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Life in Gothenburg: https://www.movetogothenburg.com/
Culture and atmosphere of the Gothenburg site: https://www.linkedin.com/feed/update/urn:li:activity:6496327311678410752/